Abstract: Highlights•Group recommender system focusing on genre preference value is proposed.•We cluster the groups based on genre preference vector to lower the clustering cost.•A new fine-grained item preference value for the aggregation method is proposed.•Group recommendation focusing on the genre improve both effectiveness and efficiency.
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